Alexis Vasseur
- Applied Mathematics top 0.1%
- Navier-Stokes equation solutions 61
- Gas Dynamics and Kinetic Theory 29
- Nonlinear Partial Differential Equations 9
- Mathematical Physics top 0.5%
- Advanced Mathematical Physics Problems 32
- Computational Mechanics top 0.5%
- Computational Fluid Dynamics and Aerodynamics 32
- Fluid Dynamics and Turbulent Flows 23
- Modeling and Simulation top 1%
- Mathematical Biology Tumor Growth 6
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- Stability and Controllability of Differential Equations 15
- Co-authors
- Luis CaffarelliAntoine MelletCheng YuPierre‐Emmanuel JabinThierry GoudonChi Hin ChanMoon-Jin KangBenoı̂t Perthame
- Journals
- Journal of Computational Physics (2 papers)Mathematics of Computation (1 paper)Communications in Mathematical Physics (3 papers)
- Partner nations
- United StatesFranceSouth Korea
In The Last Decade
Alexis Vasseur
79 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 65
- Applied Mathematics 2.2k
- Mathematical Physics 1.2k
- Computational Mechanics 1.2k
- Modeling and Simulation 213
- Computational Theory and Mathematics 361
Countries citing papers authored by Alexis Vasseur
This map shows the geographic impact of Alexis Vasseur's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Alexis Vasseur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexis Vasseur more than expected).
Fields of papers citing papers by Alexis Vasseur
This network shows the impact of papers produced by Alexis Vasseur. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Alexis Vasseur. The network helps show where Alexis Vasseur may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Alexis Vasseur, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2023 | 12 | |
| 3 | 2023 | 1 | |
| 4 | 2021 | 19 | |
| 5 | 2021 | 6 | |
| 6 | 2020 | 5 | |
| 7 | 2020 | 19 | |
| 8 | 2019 | 17 | |
| 9 | 2017 | 34 | |
| 10 | Existence of Global Weak Solutions for 2D Shallow Water Equations with its degenerate viscosity | 2015 | 2 |
| 11 | 2015 | 13 | |
| 12 | 2015 | 24 | |
| 13 | 2012 | 10 | |
| 14 | 2009 | 27 | |
| 15 | 2009 | 4 | |
| 16 | 2009 | 11 | |
| 17 | 2007 | 1 | |
| 18 | 2007 | 166 | |
| 19 | 2004 | 1 | |
| 20 | 2001 | 119 |
About Alexis Vasseur
Alexis Vasseur is a scholar working on Applied Mathematics, Mathematical Physics and Computational Mechanics, having authored 84 papers that have together received 2.6k indexed citations. Recurring topics across this work include Navier-Stokes equation solutions (61 papers), Advanced Mathematical Physics Problems (32 papers), Computational Fluid Dynamics and Aerodynamics (32 papers), Gas Dynamics and Kinetic Theory (29 papers), Fluid Dynamics and Turbulent Flows (23 papers), Stability and Controllability of Differential Equations (15 papers), Nonlinear Partial Differential Equations (9 papers) and Mathematical Biology Tumor Growth (6 papers). The work is most often cited by research in Applied Mathematics (2.2k citations), Mathematical Physics (1.2k citations) and Computational Mechanics (1.2k citations). Alexis Vasseur has collaborated with scholars based in United States, France and South Korea. Frequent co-authors include Luis Caffarelli, Antoine Mellet, Cheng Yu, Pierre‐Emmanuel Jabin, Thierry Goudon, Chi Hin Chan, Thierry Goudon, Moon-Jin Kang, Benoı̂t Perthame and Florent Berthelin. Their work appears in journals such as Journal of Computational Physics, Mathematics of Computation and Communications in Mathematical Physics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.